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ZipVitals

ZIP code

94611

in Oakland, CaliforniaPopulation 40,116

71.39/ 100

Ranked #360 of 32,066 US ZIPs (top 1.2%)

Ranked #59 of 1,719 California ZIPs (top 3.5%)

Ranked #28 of 174 San Francisco-Oakland-Fremont, CA ZIPs (top 16%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

What defines this ZIP

Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.

Median household income

$180,549

in the top 1.7% nationally

Higher is healthier

ST93rd
US98th
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Expected annual disaster loss

$1

in the top 0.4% nationally

Lower is healthier

ST97th
US99th
Definition & source ›

FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.

Full methodology ›

Obesity

21.9%

in the bottom 2.0% nationally

Lower is healthier

ST12th
US2nd
Definition & source ›

The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.

Full methodology ›

Natural-disaster risk

in the top 1.7% nationally

Lower is healthier

ST94th
US98th
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Utility shut-off threat

3.9%

in the bottom 3.3% nationally

Lower is healthier

ST9th
US3rd
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Food insecurity

6.9%

in the bottom 3.3% nationally

Lower is healthier

ST5th
US3rd
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Subsidized affordable housing

571 units

in the top 3.8% nationally

Higher is healthier

ST90th
US96th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Energy-cost burden

1.1%

in the bottom 1.3% nationally

Lower is healthier

ST6th
US1st
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Lack of transportation

4.6%

in the bottom 4.4% nationally

Lower is healthier

ST5th
US4th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Lead in tap water

0 ppb

at the national minimum

Lower is healthier

US1st
Definition & source ›

The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

The read

Overall, ZIP 94611, one of several in Oakland, California places in the top 1.2% healthiest ZIPs nationally (360th) and the top 3.5% of California (59th).

continue reading

The measures land in both directions, and neither dominates: household income registers in the top 1.7% nationally, and modeled obesity settles in the bottom 2.0% nationally. Modeled utility shutoff sits in the bottom 3.3% nationally, and food insecurity lies in the bottom 3.3% nationally. Subsidized affordable housing rests in the top 3.8% nationally, modeled energy burden resides in the bottom 1.3% nationally, and modeled transportation is in the bottom 4.4% nationally. Lead in tap water lands at the national minimum. Pulling the other way, modeled expected annual loss stands in the top 0.4% nationally, and disaster risk registers in the top 1.7% nationally.

Beside the areas that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Among nearby ZIPs, the nearest healthier one overall is ZIP 94563, just across the boundary.

What’s driving this score

Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the San Francisco-Oakland-Fremont, CA metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 95%

21%

Social Need / SDOH

healthier than 98%

16%

Environmental Hazard

healthier than 63%

14%

Preventive Care

healthier than 80%

13%

Risk Behavior

healthier than 96%

11%

Mental Health

healthier than 87%

8%

Disability

healthier than 97%

7%

Climate / Disaster Risk

healthier than 90%

5%

Healthcare Access

healthier than 93%

5%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 86%

21%

Social Need / SDOH

healthier than 98%

16%

Environmental Hazard

healthier than 80%

14%

Preventive Care

healthier than 91%

13%

Risk Behavior

healthier than 93%

11%

Mental Health

healthier than 88%

8%

Disability

healthier than 96%

7%

Climate / Disaster Risk

healthier than 77%

5%

Healthcare Access

healthier than 88%

5%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 66%

21%

Social Need / SDOH

healthier than 86%

16%

Environmental Hazard

healthier than 64%

14%

Preventive Care

healthier than 78%

13%

Risk Behavior

healthier than 73%

11%

Mental Health

healthier than 62%

8%

Disability

healthier than 87%

7%

Healthcare Access

healthier than 83%

5%

About typical

Climate / Disaster Risk

healthier than 54%

5%

Nothing measured is holding this score back.

“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured

Evidence

Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.

Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Arthritis among adults21.5%19.2–24.1
High blood pressure among adults28.0%25.1–31.2
Cancer (non-skin) or melanoma among adults8.6%7.8–9.4
Current asthma among adults9.3%8.2–10.4
Coronary heart disease among adults4.6%4.1–5.1
Chronic obstructive pulmonary disease among adults3.5%3.1–3.9
Depression among adults20.5%17.9–23.4
Diagnosed diabetes among adults8.6%7.5–9.9
High cholesterol among adults who have ever been screened33.8%30.5–37.3
Obesity among adults21.9%18.2–26.0
Stroke among adults2.5%2.3–2.7
All teeth lost among adults aged >=65 years4.6%3.7–5.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years3.5%3.0–4.1
Taking medicine to control high blood pressure among adults with high blood pressure72.5%69.3–75.7
Visits to doctor for routine checkup within the past year among adults75.3%72.3–78.3
Cholesterol screening among adults91.0%89.9–92.1
Colorectal cancer screening among adults aged 45–75 years67.4%63.4–71.3
Visited dentist or dental clinic in the past year among adults76.3%73.8–78.6
Mammography use among women aged 50-74 years78.5%72.5–83.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.4%15.0–20.2
Current cigarette smoking among adults6.4%5.5–7.5
No leisure-time physical activity among adults13.8%11.8–16.1
Short sleep duration among adults29.9%26.3–33.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults12.6%11.1–14.2
Frequent mental distress among adults13.5%12.1–15.0
Frequent physical distress among adults9.7%8.6–10.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults9.3%8.3–10.4
Any disability among adults22.6%20.0–25.4
Hearing disability among adults5.0%4.4–5.6
Independent living disability among adults5.0%4.5–5.5
Mobility disability among adults9.1%7.9–10.3
Self-care disability among adults2.2%2.0–2.4
Vision disability among adults2.9%2.6–3.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.1%18.3–24.0
Food insecurity in the past 12 months among adults6.9%5.9–8.0
Received food stamps in the past 12 months among adults6.1%5.2–7.1
Housing insecurity in the past 12 months among adults6.8%5.9–7.8
Lack of reliable transportation in the past 12 months among adults4.6%4.1–5.2
Loneliness among adults33.1%29.2–37.2
Utility services shut-off threat in the past 12 months among adults3.9%3.4–4.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)CA median (p10–p90)
Poverty rate6.2%10.6% (3.1–25.8%) n=32,36410.6% (4.1–24.9%) n=1,714
Uninsured 18–642.6%9.0% (1.5–24.3%) n=32,2867.7% (1.7–17.9%) n=1,704
No HS diploma (25+)2.3%7.9% (1.8–20.7%) n=32,5059.8% (1.4–30.9%) n=1,729
Bachelor's or higher (25+)79.4%23.3% (9.2–53.6%) n=32,50531.3% (9.9–68.2%) n=1,729
Unemployment rate (16+)4.4%3.9% (0.0–9.8%) n=32,2746.1% (0.8–12.0%) n=1,714
Households without a vehicle10.3%3.9% (0.0–12.5%) n=32,3224.5% (0.0–12.2%) n=1,708
Broadband subscription97.0%89.3% (75.1–97.1%) n=32,32293.4% (82.1–98.4%) n=1,708
Housing cost burden (≥30% income)33.6%23.7% (10.6–40.0%) n=32,32238.6% (24.4–50.5%) n=1,708
Homeownership rate60.6%78.7% (51.7–94.0%) n=32,32264.1% (31.9–86.4%) n=1,708
Crowded housing (>1 per room)1.5%1.3% (0.0–6.3%) n=32,3224.8% (0.0–15.9%) n=1,708
Foreign-born population16.7%2.6% (0.0–18.6%) n=32,55318.9% (3.0–40.4%) n=1,730
Single-parent households55.7%53.6% (37.3–74.1%) n=32,08748.4% (35.1–72.3%) n=1,692
Population 65+21.7%19.4% (10.8–33.6%) n=32,55317.0% (9.7–35.7%) n=1,730
Median age43.5 yr42.2 yr (33.0–56.3) n=32,29240.1 yr (31.8–57.0) n=1,712
Median household income$180,549$72,070 ($46,039–$118,707) n=30,318$93,448 ($54,188–$159,562) n=1,584
Median home value$1,537,700$222,200 ($100,300–$579,820) n=30,049$659,800 ($300,520–$1,493,340) n=1,593
Median gross rent$2,303$1,021 ($677–$1,912) n=25,670$1,912 ($1,113–$2,923) n=1,461
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)CA median (p10–p90)
Life expectancy at birth82.7 yr ± 0.6178.9 yr (74.7–82.8) n=31,30880.5 yr (76.7–83.8) n=1,665

About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.61 years of 82.7, and it’s very unlikely to be off by more than twice that.

More ZIPs to explore ▾

How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured